| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("translation", model="facebook/nllb-200-distilled-600M") | |
| def predict(text): | |
| return pipe(text,src_lang='eng_Latn',tgt_lang='zho_Hans')[0]['translation_text'] | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs='text', | |
| outputs='text', | |
| ) | |
| demo.launch(share=True) |